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Search All Research Studies
Topics
- Communication (1)
- Comparative Effectiveness (1)
- (-) Data (4)
- Evidence-Based Practice (1)
- Healthcare Cost and Utilization Project (HCUP) (1)
- Healthcare Costs (2)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedBoudreaux M, Gangopadhyaya A, Long SK
AHRQ Author: Karaca Z
Using data from the Healthcare Cost and Utilization Project for state health policy research.
Investigators describe the opportunities and challenges of using HCUP data to conduct state health policy research and to provide empirical examples of what can go wrong when using the national HCUP data inappropriately. Analyzing cesarean delivery rates, discharges per capita, and discharges by the payer, they found that state-level estimates are volatile and often provide misleading policy conclusions. They conclude that the Nationwide Inpatient Sample should not be used for state-level research and specified that AHRQ provides resources to assist analysts with state-specific studies using State Inpatient Database files.
AHRQ-authored.
Citation: Boudreaux M, Gangopadhyaya A, Long SK .
Using data from the Healthcare Cost and Utilization Project for state health policy research.
Med Care 2019 Nov;57(11):855-60. doi: 10.1097/mlr.0000000000001196..
Keywords: Healthcare Cost and Utilization Project (HCUP), Policy, Health Services Research (HSR), Healthcare Costs, Data, Research Methodologies
Khatibzadeh S, Saheb Kashaf M, Micha R
A global database of food and nutrient consumption.
The authors conducted an empirical assessment of dietary intakes in order for evidence-based policy-making to address global health challenges. They derived The Global Dietary Database, which combines broad global coverage with estimates of food and nutrient consumption by age, sex and time. They believe that these data provide an empirical basis for global dietary surveillance, policy-making and priority setting to address diet-related burdens of disease.
AHRQ-funded; HS000062.
Citation: Khatibzadeh S, Saheb Kashaf M, Micha R .
A global database of food and nutrient consumption.
Bull World Health Organ 2016 Dec;94(12):931-34. doi: 10.2471/blt.15.156323.
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Keywords: Data, Evidence-Based Practice, Nutrition, Policy, Public Health
Meeker D, Jiang X, Matheny ME
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.
The authors’ objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features. They were able to implement massively parallel (map-reduce) computation methods and a new policy management system to enable each study initiated by network participants to define the ways in which data may be processed, managed, queried, and shared.
AHRQ-funded; HS019913.
Citation: Meeker D, Jiang X, Matheny ME .
A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.
J Am Med Inform Assoc 2015 Nov;22(6):1187-95. doi: 10.1093/jamia/ocv017..
Keywords: Communication, Comparative Effectiveness, Data, Health Information Technology (HIT), Policy, Research Methodologies
Cohen SB, Cohen JW
AHRQ Author: Cohen SB, Cohen JW
The capacity of the Medical Expenditure Panel Survey to inform the Affordable Care Act.
The authors provided a summary of the capacity of the Medical Expenditure Panel Survey to inform program planning, implementation, and evaluations of program performance for several components of the Affordable Care Act.
AHRQ-authored.
Citation: Cohen SB, Cohen JW .
The capacity of the Medical Expenditure Panel Survey to inform the Affordable Care Act.
Inquiry 2013 May;50(2):124-34. doi: 10.1177/0046958013513678.
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Keywords: Data, Healthcare Costs, Health Insurance, Policy, Medical Expenditure Panel Survey (MEPS)